Abstract
This work presents an application of the Supply Chain Disturbance Management Fuzzy Decision Support System designed to support decision-making processes aimed at improving the performance/resilience of Supply Chains. The Fuzzy Decision Support System analyses the effects of Supply Chain disturbances and the effects of implementing mitigation (proactive) and/or contingency (reactive) plans set to counter such disturbances, reducing their negative impacts. This paper illustrates the application of the Fuzzy Decision Support System in real life support of Supply Chain management using an academic case study where four scenarios related with an automotive Supply Chain are presented. The analysis of the Performance Index of each Supply Chain entity and the analysis of the Supply Chain Performance Index allow the selection of the operational policy whose implementation ensures best Supply Chain resilience.
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